hoopR VS nbastatR

Thankfully, I've made use of the hoopR package which lets me get data that is up to date, primarily by pulling info from ESPN's APIs. While that does most of the work, there's tweaking that I need to do (most particularly for streamed game broadcasts that aren't ESPN3/ESPN+) but it usually goes fairly swimmingly.

hoopR (college and pro basketball)

https://github.com/saiemgilani/hoopR Digging around through here will probably help you find a csv which is easy to convert to excel

Next, we’ll look at a few measures of performance on the court to see whether certain signs are better or worse suited to particular aspects of the game. For each of these, I took player box score statistics (sourced from https://github.com/saiemgilani/hoopR), grouped them by the player’s astrological sign, and calculated their average numbers through the 2020-21 season. First, we’ll look at scoring -- the chart below shows each sign’s average points per game.

I extracted the data from the NBA.com repository using the nbastatR R package (http://asbcllc.com/nbastatR/).

https://github.com/abresler/nbastatR for example. It should be quite trivial to just scrape some data and write to a CSV using this package.

if you're familiar with R then i would recommend the nbastatR package